David Quiceno

5.3k total citations · 4 hit papers
10 papers, 4.3k citations indexed

About

David Quiceno is a scholar working on Immunology, Biochemistry and Pharmacology. According to data from OpenAlex, David Quiceno has authored 10 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Biochemistry and 2 papers in Pharmacology. Recurrent topics in David Quiceno's work include Immune cells in cancer (8 papers), Immune Cell Function and Interaction (5 papers) and Amino Acid Enzymes and Metabolism (3 papers). David Quiceno is often cited by papers focused on Immune cells in cancer (8 papers), Immune Cell Function and Interaction (5 papers) and Amino Acid Enzymes and Metabolism (3 papers). David Quiceno collaborates with scholars based in United States and Slovakia. David Quiceno's co-authors include Paulo C. Rodrı́guez, Augusto C. Ochoa, Jovanny Zabaleta, Juan B. Ochoa, Arnold H. Zea, Dmitry I. Gabrilovich, Pingyan Cheng, Cesar A. Corzo, Alberto Delgado and Pelayo Correa and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

David Quiceno

9 papers receiving 4.2k citations

Hit Papers

Arginase I Production in the Tumor Microenvironment by Ma... 2004 2026 2011 2018 2004 2010 2006 2005 250 500 750

Peers

David Quiceno
Guanjun Cheng United States
Filippo Veglia United States
Virginia K. Clements United States
Linda A. Snyder United States
Luca Cassetta United Kingdom
Juan Fu United States
Nicole E. Scharping United States
David Quiceno
Citations per year, relative to David Quiceno David Quiceno (= 1×) peers Stefano Ugel

Countries citing papers authored by David Quiceno

Since Specialization
Citations

This map shows the geographic impact of David Quiceno's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Quiceno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Quiceno more than expected).

Fields of papers citing papers by David Quiceno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Quiceno. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Quiceno. The network helps show where David Quiceno may publish in the future.

Co-authorship network of co-authors of David Quiceno

This figure shows the co-authorship network connecting the top 25 collaborators of David Quiceno. A scholar is included among the top collaborators of David Quiceno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Quiceno. David Quiceno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Suresh, Manasa, David Quiceno, Karen Tan, et al.. (2023). Abstract 666: Targeting the CD47/SIRPα “Do not eat me” phagocytic pathway in macrophages to improve anti-CD47 immune therapy. Cancer Research. 83(7_Supplement). 666–666.
2.
Nagaraj, Srinivas, Allison Nelson, Je‐In Youn, et al.. (2012). Antigen-Specific CD4+ T Cells Regulate Function of Myeloid-Derived Suppressor Cells in Cancer via Retrograde MHC Class II Signaling. Cancer Research. 72(4). 928–938. 82 indexed citations
3.
Corzo, Cesar A., Thomas Condamine, Lily Lu, et al.. (2010). HIF-1α regulates function and differentiation of myeloid-derived suppressor cells in the tumor microenvironment. The Journal of Experimental Medicine. 207(11). 2439–2453. 930 indexed citations breakdown →
4.
Nagaraj, Srinivas, Cesar A. Corzo, Je‐In Youn, et al.. (2009). Regulatory Myeloid Suppressor Cells in Health and Disease. Cancer Research. 69(19). 7503–7506. 69 indexed citations
5.
Rodrı́guez, Paulo C., David Quiceno, & Augusto C. Ochoa. (2006). l-arginine availability regulates T-lymphocyte cell-cycle progression. Blood. 109(4). 1568–1573. 704 indexed citations breakdown →
6.
Zea, Arnold H., Paulo C. Rodrı́guez, Michael B. Atkins, et al.. (2005). Arginase-Producing Myeloid Suppressor Cells in Renal Cell Carcinoma Patients: A Mechanism of Tumor Evasion. Cancer Research. 65(8). 3044–3048. 671 indexed citations breakdown →
7.
Rodrı́guez, Paulo C., Claudia Patricia Pardo Hernández, David Quiceno, et al.. (2005). Arginase I in myeloid suppressor cells is induced by COX-2 in lung carcinoma. The Journal of Experimental Medicine. 202(7). 931–939. 469 indexed citations
8.
Rodrı́guez, Paulo C., et al.. (2005). COX-2 Inhibition in Tumor Cells Blocks Arginase I Induction in Myeloid Suppressor Cells. Journal of Immunotherapy. 28(6). 652–652. 5 indexed citations
9.
Rodrı́guez, Paulo C., David Quiceno, Jovanny Zabaleta, et al.. (2004). Arginase I Production in the Tumor Microenvironment by Mature Myeloid Cells Inhibits T-Cell Receptor Expression and Antigen-Specific T-Cell Responses. Cancer Research. 64(16). 5839–5849. 974 indexed citations breakdown →
10.
Rodrı́guez, Paulo C., Arnold H. Zea, Joanna DeSalvo, et al.. (2003). l -Arginine Consumption by Macrophages Modulates the Expression of CD3ζ Chain in T Lymphocytes. The Journal of Immunology. 171(3). 1232–1239. 393 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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